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JUCS
2006
185views more  JUCS 2006»
15 years 6 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
BMCBI
2004
112views more  BMCBI 2004»
15 years 6 months ago
SPOC: A widely distributed domain associated with cancer, apoptosis and transcription
Background: The Split ends (Spen) family are large proteins characterised by N-terminal RNA recognition motifs (RRMs) and a conserved SPOC (Spen paralog and ortholog C-terminal) d...
Luis Sánchez-Pulido, Ana María Rojas...
PRESENCE
2002
124views more  PRESENCE 2002»
15 years 6 months ago
Near-Field Virtual Audio Displays
In tasks that require listeners to monitor two or more simultaneous talkers, substantial performance benefits can be achieved by spatially separating the competing speech messages...
Douglas Brungart
210
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BMCBI
2011
15 years 1 months ago
Tiling array data analysis: a multiscale approach using wavelets
Background: Tiling array data is hard to interpret due to noise. The wavelet transformation is a widely used technique in signal processing for elucidating the true signal from no...
Alexander Karpikov, Joel S. Rozowsky, Mark Gerstei...
SIAMIS
2011
15 years 1 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...
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